Software Engineering Manager (R37)

R1 RCM•Remote, NY, NY

1d•$101,100 - $206,803•Hybrid

About The Position

At R1, we’re transforming how healthcare works by combining nearly two decades of revenue cycle expertise with advanced technology, including analytics, AI, intelligent automation and workflow orchestration. We pair that technology with the irreplaceable expertise of our people to help hospitals, health systems and medical groups improve financial performance, simplify administrative complexity and create better experiences for patients and providers. All Together Better defines our culture and the way we work. We’re a diverse, global team united by a shared mission to make healthcare work better for all. Across technology, operations and support functions, our people bring deep expertise, empathy and ingenuity to the work we do. Here, collaboration fuels progress, adaptability sparks innovation and every voice can help shape what’s next for R1 and the future of healthcare. About R37 R37 is R1’s AI innovation lab, building technology to transform healthcare. Our flagship platform, Phare OS, uses AI and automation to improve critical pre-bill workflows, including authorization, utilization management, documentation and coding. By identifying and resolving issues before claims are submitted, Phare OS helps prevent denials, improve reimbursement and move revenue cycle work upstream. What makes R37 different is the opportunity to build advanced AI at real-world scale. R1 works across 95 of the top 100 U.S. health systems, giving R37 access to the data, workflows and reach needed to make an immediate impact: 180M+ claims, 550M+ patient encounters, 1.2B+ workflow actions and outcomes annually. This is startup-level ownership with enterprise-level impact. You’ll build technology that moves from idea to real healthcare environments, solving complex problems at scale and changing how healthcare works. As our Engineering Manager, you will help drive the development and delivery of AI-native products by leading high-performing engineering teams and shaping the future of AI capabilities across our core platform. Every day you will lead and mentor multidisciplinary engineering teams, collaborate with product and AI leaders to execute the product roadmap, and drive the delivery of scalable AI-powered solutions from concept to production. To thrive in this role, you must be a strong people leader, passionate about building innovative AI products, skilled at navigating ambiguity, and experienced in creating high-performing engineering organizations that deliver measurable business outcomes.

Requirements

3+ years of experience leading, hiring, and developing engineering teams as an Engineering Manager.
Proven experience building and scaling teams that deliver Search, Ranking, Generative AI, or other AI-driven products at scale.
Strong track record of leading 0→1 product development and transforming innovative ideas into successful customer-facing solutions.
Proficiency in one or more modern programming languages such as Python, Java, Go, Rust, TypeScript, Kotlin, or C#.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).

Nice To Haves

Healthcare or Revenue Cycle Management (RCM) experience preferred but not required.

Responsibilities

Lead and support teams: Lead a team of AI/ML, data, and full-stack engineers to deliver AI-native products. Define the organizational structure and necessary functions and cultivate a high-performing team through effective recruitment, mentorship, and retention strategies.
Collaborate across functions: Work closely with product, engineering, AI research, and data science teams to define strategic goals and establish a roadmap for AI product development. Play a key role in hiring, recruiting, and onboarding new talent.
Drive innovation: Spearhead innovation in 0->1 product areas by exploring and implementing new AI/ML technologies and techniques to enhance user experience.
Agile Methodologies and DevOps Practices: Champion agile methodologies and DevOps best practices within the team, fostering a culture of continuous improvement, automated testing, operational excellence and efficient software delivery and release.
Foster a Diverse and Inclusive Culture: Contribute to building a diverse and inclusive team and culture. Support initiatives through hiring, community events, and other programs. Collaborate with teams across R37 to enhance mentoring and development efforts.